AI/ML Developer | Python & FastAPI Enthusiast | Building Intelligent Systems
Welcome to my GitHub! I'm passionate about Artificial Intelligence, Machine Learning, and Retrieval-Augmented Generation (RAG) systems. I love building scalable backend solutions and exploring cutting-edge AI technologies.
I'm an AI/ML developer focused on creating intelligent systems that bridge the gap between complex algorithms and real-world applications. With a strong foundation in Python and FastAPI, I specialize in building robust backends for AI-powered applications, particularly in RAG pipelines and LLM integration.
I believe in learning by building, and my repositories reflect my journey through:
- Building RAG systems from scratch
- Integrating Large Language Models (LLMs)
- Creating intelligent document processing solutions
- Implementing neural networks and backpropagation algorithms
Languages & Frameworks:
- Python βββββ
- FastAPI βββββ
- HTML/CSS (Web Development)
- JavaScript (Basic)
AI/ML Specializations:
- Retrieval-Augmented Generation (RAG)
- Large Language Models (LLMs)
- Neural Networks & Backpropagation
- Vector Databases & Embeddings
- Chat Systems & Conversational AI
- Document Processing & AI
Tools & Technologies:
- Python (NumPy, Pandas, Scikit-learn)
- FastAPI & REST APIs
- LangChain & LLM Frameworks
- Vector Databases
- Git & Version Control
- Netlify & Web Deployment
π Documind
AI-Powered Document Intelligence Platform
- Intelligent document processing and analysis
- Frontend: https://docu-mind-ai.netlify.app
- Apache License 2.0
Production-Ready RAG Pipeline with Chat History
- Full implementation of Retrieval-Augmented Generation system
- Chat loops and conversation history management
- LLM integration with multi-turn conversations
- Tags: RAG Pipeline, LLM Tools, Python3
πΌ Portfolio AI Backend
FastAPI Backend for AI Portfolio
- Production backend built with FastAPI
- Portfolio Website: https://aaravkumarranjan.netlify.app
- Showcasing AI/ML project integration
- RAG Built from Scratch v2 - RAG system with LLM question answering
- RAG Built from Scratch - Original RAG implementation (3 β)
- Backpropagation Model - Neural network implementation demonstrating backpropagation
- π Deep Diving into AI/ML - Mastering LLMs, embeddings, and advanced RAG techniques
- π Building Production Systems - Creating scalable AI backends with FastAPI
- π§ Exploring RAG Variations - Implementing advanced retrieval and generation strategies
- π Continuous Learning - Staying updated with latest AI/ML breakthroughs
- π‘ Open Source Contribution - Contributing to AI/ML community projects
I'm always excited to collaborate on AI/ML projects, discuss innovative ideas, or help fellow developers!
- πΌ Portfolio: aaravkumarranjan.netlify.app
- π¬ GitHub: @akop-cyber
- π§ Open to opportunities in AI/ML development, RAG systems, and LLM integration
My repositories showcase:
- π€ AI and Machine Learning implementations
- π RAG systems and LLM integrations
- βοΈ Backend solutions with FastAPI
- π§ͺ Experimental projects and learning explorations
- π Well-documented code with practical examples
The AI/ML field evolves rapidly, and I'm committed to staying at the forefront of innovation. Whether it's new LLM architectures, advanced retrieval techniques, or production deployment strategies, I'm continuously expanding my knowledge.
Feel free to explore my projects, star them if you find them useful, and don't hesitate to reach out for collaboration! π
Last Updated: June 2026


